Multi-Party Conference Stream Parsing and Management
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Solution Overview
Problem
Existing multi-party conferencing technologies centralize user content streams, limiting the ability to manage individual user inputs and outputs, and lack effective retention and verification mechanisms for user data feeds.
Innovation Solution
A system and method that parse user engagement streams into separate audio, video, and data feeds, allowing a conference engine and data engine to manage and record individual user content independently, with the data engine using a distributed ledger for content validation and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user content streams are centralized in a single platform feed, then system efficiency and simplicity are improved, but the ability to manage individual user content streams and data is limited
Solution Approach 1:
The patent divides the centralized platform feed into separate user-specific content streams. Each user's engagement stream is parsed into distinct content feeds (audio, video, data) that can be independently managed by the data engine, while still being integrated by the conference engine. This segmentation enables individual user content management without sacrificing overall system efficiency.
Solution Approach 2:
The patent introduces a data engine as an intermediary component between the conference engine and the content streams. The data engine receives parsed content feeds from individual users and provides centralized management capabilities, acting as a mediator that enables flexible user-specific content handling while maintaining system integration through the conference engine.
2Device complexity
If all user inputs are fed into the communication platform centrally, then platform simplicity is maintained, but the ability to track and manage user-specific input/output is lost
Solution Approach 1:
The platform architecture segments user inputs into separate engagement streams that are parsed into distinct content feeds. This allows the system to maintain simplicity in receiving all inputs while enabling detailed tracking of user-specific content through the data engine's management of individual streams.
Solution Approach 2:
The patent adds a dimensional layer by parsing content feeds into separate audio, video, and data streams. This dimensional separation allows the system to track user-specific inputs in multiple dimensions simultaneously, enriching the tracking capability without fundamentally changing the centralized platform architecture.
3Device complexity
If a single platform feed is used, then content management is simplified, but retention and verification capabilities for user data feeds are insufficient
Solution Approach 1:
By segmenting the platform feed into separate user-specific content feeds that are parsed into audio, video, and data streams, the system enables selective retention and verification of individual content types. The data engine can manage and verify specific user data feeds independently, improving reliability without significantly increasing overall system complexity.
Solution Approach 2:
The patent applies local quality by enabling different retention and verification strategies for different content feeds. Each content feed (audio, video, data) can be managed with customized retention policies and verification mechanisms tailored to its specific requirements, allowing the system to optimize reliability for each content type while maintaining manageable complexity.
Data Source
AI summary
A system and method provides for content management for a networked communication platform, including receiving a communication connection with a user, such as via a networked connection. The method and system includes a communication platform having executable operations for facilitating a multi-party conference with a conference engine that receives both an audio/video stream from the user, as well as data relating to the user interface operations. Concurrently, the data stream and the audio/video stream are transmitted to a data engine. The facilitates an online conference with two more users, the data engine processes the feeds external from the conference itself, allowing for recordation.